Abstract
The purpose of the paper is to examine how two approaches — public policy evaluation and network analysis are combined. Both approaches are separately used in the analysis of public policy, and we set ourselves to find out how and on what basis their synthesis is possible. Methodology: our research is based on the approach of public governance, as well as game theory and the economics of agreements (neo-institutional theory). They help to analyze the rules of interaction between actors, the principles they are guided by, and also the features of coordination within the network. Conclusions: public policy evaluation has passed several stages in its development, and in the early 21st century came close to the merger with the network approach within the framework of governance approach. Nevertheless, there are very few studies in scientific literature that pay attention to this phenomenon. Standard network analysis does not provide the opportunity to study the dynamic, diverse nature of the functioning of networks, or the external effects of political activity of networks in the public sphere. At the same time, the constructivist approach to evaluation, which emphasizes the deliberation aspects — the importance of public discussions in public policy — also fails to determine what caused the problems — the design of the program or its implementation. To solve problems arising at the junction of evaluation and network analysis, we have used game theory, governance approach and economics of agreements. Scientific significance: this research has shown the possibility and the prospects of combining two methodological approaches — public policy evaluation and network analysis — to eliminate individual limitations.
Keywords
Acknowledgements
The study was carried out through the financial support of the Russian Fund of Fundamental Research (RFFR), as part of the scientific project № 18–011–00705 “The Explanatory Potential of Network Theory in Political Research: Methodological Synthesis as Analytical Strategy”.References
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